[R] R_closest date
arun
smartpink111 at yahoo.com
Sun Sep 2 18:12:30 CEST 2012
Hi,
No problem.
If you use join() instead of merge(), the original order of columns may not get altered.
dat3<-aggregate(DAYS_DIFF~PT_ID,data=dat1,min)
library(plyr)
join(dat1,dat3,type="inner")
#Joining by: PT_ID, DAYS_DIFF
# PT_ID IDX_DT OBS_DATE DAYS_DIFF OBS_VALUE CATEGORY
#1 4549 2002-08-21 2002-08-20 -1 183 2
#2 4839 2006-11-28 2006-11-28 0 179 2
A.K.
________________________________
From: Weijia Wang <wwang.nyu at gmail.com>
To: arun <smartpink111 at yahoo.com>
Sent: Saturday, September 1, 2012 5:11 PM
Subject: Re: [R] R_closest date
Thank you Arun, for your help again.
Best
______________________________
WANG WEIJIA
Graudate Research and Teaching Assistant
Department of Environmental Medicine
New York University, School of Medicine
wwang.nyu at gmail.com
On Sep 1, 2012, at 5:04 PM, arun <smartpink111 at yahoo.com> wrote:
Hi,
>Try this:
>dat1 <- read.table(text="
> PT_ID IDX_DT OBS_DATE DAYS_DIFF OBS_VALUE CATEGORY
>13 4549 2002-08-21 2002-08-20 -1 183 2
>14 4549 2002-08-21 2002-11-14 85 91 1
>15 4549 2002-08-21 2003-02-18 181 89 1
>16 4549 2002-08-21 2003-05-15 267 109 2
>17 4549 2002-08-21 2003-12-16 482 96 1
>128 4839 2006-11-28 2006-11-28 0 179 2
>", header=TRUE)
>dat3<-aggregate(DAYS_DIFF~PT_ID,data=dat1,min)
>merge(dat1,dat3)
># PT_ID DAYS_DIFF IDX_DT OBS_DATE OBS_VALUE CATEGORY
>#1 4549 -1 2002-08-21 2002-08-20 183 2
>#2 4839 0 2006-11-28 2006-11-28 179 2
>
>#or,
>dat2<- tapply(dat1$DAYS_DIFF,dat1$PT_ID,min)
>dat4<-data.frame(PT_ID=row.names(data.frame(dat2)),DAYS_DIFF=dat2)
> row.names(dat4)<-1:nrow(dat4)
>merge(dat1,dat4)
># PT_ID DAYS_DIFF IDX_DT OBS_DATE OBS_VALUE CATEGORY
>#1 4549 -1 2002-08-21 2002-08-20 183 2
>#2 4839 0 2006-11-28 2006-11-28 179 2
>A.K.
>
>
>
>
>
>----- Original Message -----
>From: WANG WEIJIA <wwang.nyu at gmail.com>
>To: "r-help at R-project.org" <r-help at r-project.org>
>Cc:
>Sent: Saturday, September 1, 2012 1:10 PM
>Subject: [R] R_closest date
>
>Hi,
>
>I have encountered an issue about finding a date closest to another date
>
>So this is how the data frame looks like:
>
> PT_ID IDX_DT OBS_DATE DAYS_DIFF OBS_VALUE CATEGORY
>13 4549 2002-08-21 2002-08-20 -1 183 2
>14 4549 2002-08-21 2002-11-14 85 91 1
>15 4549 2002-08-21 2003-02-18 181 89 1
>16 4549 2002-08-21 2003-05-15 267 109 2
>17 4549 2002-08-21 2003-12-16 482 96 1
>128 4839 2006-11-28 2006-11-28 0 179 2
>
>I need to find, the single observation, which has the closest date of 'OBS_DATE' to 'IDX_DT'.
>
>For example, for 'PT_ID' of 4549, I need row 13, of which the OBS_DATE is just one day away from IDX_DT.
>
>I was thinking about using abs(), and I got this:
>
>baseline<- function(x){
>+
>+ #remove all uncessary variables
>+ baseline<- x[,c("PT_ID","DAYS_DIFF")]
>+
>+ #get a list of every unique ID
>+ uniqueID <- unique(baseline$PT_ID)
>+
>+ #make a vector that will contain the smallest DAYS_DIFF
>+ first <- rep(-99,length(uniqueID))
>+
>+ i = 1
>+ #loop through each unique ID
>+ for (PT_ID in uniqueID){
>+
>+ #for each iteration get the smallest DAYS_DIFF for that ID
>+ first[i] <- min(baseline[which(baseline$PT_ID==PT_ID),abs(baseline$DAYS_DIFF)])
>+
>+ #up the iteration counter
>+ i = i + 1
>+
>+ }
>+ #make a data frame with the lowest DAYS_DIFF and ID
>+ newdata <- data.frame(uniqueID,first)
>+ names(newdata) <- c("PT_ID","DAYS_DIFF")
>+
>+ #return the data frame containing the lowest GPI for each ID
>+ return(newdata)
>+ }
>
>ldl.b<-baseline(ldl) #get all baseline ldl patient ID, total 11368 obs, all unique#
>>Error in `[.data.frame`(baseline, which(baseline$PT_ID == PT_ID), abs(baseline$DAYS_DIFF)) :
> undefined columns selected
>
>Can anyone help me in figuring out how to get the minimum value of the absolute value of DAYS_DIFF for unique ID?
>
>Thanks a lot
> [[alternative HTML version deleted]]
>
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